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Computerized Characterization of Prostate Cancer by Fractal Analysis in MR Images
Lv, Dongjiao1,2; Guo, Xuemei2,3; Wang, Xiaoying2,3; Zhang, Jue1,2; Fang, Jing1,2
关键词prostate cancer magnetic resonance imaging T2-weighted image fractal analysis
刊名JOURNAL OF MAGNETIC RESONANCE IMAGING
2009-07-01
DOI10.1002/jmri.21819
30期:1页:161-168
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Radiology, Nuclear Medicine & Medical Imaging
研究领域[WOS]Radiology, Nuclear Medicine & Medical Imaging
关键词[WOS]MULTIPLE-SCLEROSIS LESIONS ; NEEDLE-BIOPSY ; SEGMENTATION ; ADENOCARCINOMA ; CARCINOMA ; DIMENSION ; MODEL ; QUANTIFICATION ; CLASSIFICATION ; PATTERNS
英文摘要

Purpose: To explore the potential of computerized characterization of prostate MR images by extracting the fractal features of texture and intensity distributions as indices in the differential diagnosis of prostate cancer.

Materials and Methods: MR T2-weighted images (T2WI) of 55 patients with pathologic results detected by ultrasound guided biopsy were collected and then divided in two groups, 27 with prostate cancer (PCa) and 28 with no histological abnormality. Texture fractal dimension (TFD) and histogram fractal dimension (HFD) were calculated to analyze complexity features of regions of Interest (ROIs) selected from the peripheral zone. Two-sample t-tests were performed to evaluate group differences for both parameters. Receiver operating characteristic (ROC) analysis was used to estimate the performance of TFD and HFD for discriminating PCa.

Results: Significant differences were found in both TFID and HFD between the two patient groups. The areas under the ROC curves of TFD and HFD were 0.691 an 0.966, respectively, in distinguishing prostatic carcinoma from normal peripheral zone. As characterized by the fractal indices, cancerous prostatic tissue exhibited smoother texture and lower variation in intensity distribution than normal prostatic tissue.

Conclusion: The study suggests that TFD and HFD depict the changes in texture and intensity distribution associated with prostate cancer on T2WI. Both TFD and HFD provide promising quantitative indices for cancer identification. HFD performs better than TFD offering a more robust MR-based indicator in the diagnosis of prostatic carcinoma.

语种英语
WOS记录号WOS:000267452600020
项目编号2007-2006
资助机构Research Fund of Capital Medical Development ; Interdisciplinary Research Fund of Peking University
引用统计
被引频次:22[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/67835
专题北京大学第一临床医学院_放射治疗科
北京大学第一临床医学院_医学影像科
作者单位1.Peking Univ, Dept Biomed Engn, Beijing 100871, Peoples R China
2.Peking Univ, Ctr Funct Imaging, Beijing 100871, Peoples R China
3.Peking Univ, Dept Radiol, Hosp 1, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Lv, Dongjiao,Guo, Xuemei,Wang, Xiaoying,et al. Computerized Characterization of Prostate Cancer by Fractal Analysis in MR Images[J]. JOURNAL OF MAGNETIC RESONANCE IMAGING,2009,30(1):161-168.
APA Lv, Dongjiao,Guo, Xuemei,Wang, Xiaoying,Zhang, Jue,&Fang, Jing.(2009).Computerized Characterization of Prostate Cancer by Fractal Analysis in MR Images.JOURNAL OF MAGNETIC RESONANCE IMAGING,30(1),161-168.
MLA Lv, Dongjiao,et al."Computerized Characterization of Prostate Cancer by Fractal Analysis in MR Images".JOURNAL OF MAGNETIC RESONANCE IMAGING 30.1(2009):161-168.
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